`derivate_gauss` 函数用于计算高斯核的导数。高斯核是一种常用的局部特征描述子,常用于图像处理和计算机视觉任务中。 下面是`derivate_gauss` 函数的计算过程: ```python import numpy as np from scipy.ndimage import gaussian_filter def derivate_gauss(image, sigma): """ 计算高斯核的导数。 参数: image ...
derivate_gauss— Convolve an image with derivatives of the Gaussian.Signaturederivate_gauss(Image : DerivGauss : Sigma, Component : ) Descriptionderivate_gauss convolves an image with the derivatives of a Gaussian and calculates various features derived therefrom. Sigma is the parameter of the ...
derivate_gaussis only executed on an OpenCL device ifSigmainduces a filter width respectively height of up to 129 pixels. This corresponds to aSigmaof less than 20.7 forComponent='none'. Further as the SSE2 version the OpenCL implementation is slightly inaccurate compared to the pure C version...
derivate_gauss计算过程 Gauss's method of derivative computation, also known as Gauss's derivative formula or Gauss's differentiation formula, is a mathematical technique for finding the derivative of a function using polynomial interpolation. The general formula for the derivative of a function f(x)...
derivate_gauss is only executed on an OpenCL device if Sigma induces a filter width respectively height of up to 129 pixels. This corresponds to a Sigma of less than 20.7 for Component = 'none'. Further as the SSE2 version the OpenCL implementation is slightly inaccurate compared to the ...